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» Recovering Illumination and Texture Using Ratio Images
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CVPR
2003
IEEE
16 years 1 months ago
Illumination Chromaticity Estimation using Inverse-Intensity Chromaticity Space
Existing color constancy methods cannot handle both uniform colored surfaces and highly textured surfaces in a single integrated framework. Statistics-based methods require many s...
Robby T. Tan, Ko Nishino, Katsushi Ikeuchi
IBPRIA
2003
Springer
15 years 4 months ago
Recovering Camera Motion in a~Sequence of Underwater Images through Mosaicking
A procedure for automatic mosaic construction over long image sequences is presented. This mosaic is used by an underwater vehicle to estimate its motion with respect to the ocean ...
Rafael García, Xavier Cufí, Viorela ...
ICIP
2009
IEEE
16 years 21 days ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
PAMI
2007
241views more  PAMI 2007»
14 years 11 months ago
Extreme Compression and Modeling of Bidirectional Texture Function
The recent advanced representation for realistic real-world materials in virtual reality applications is the Bidirectional Texture Function (BTF) which describes rough texture app...
Michal Haindl, Jirí Filip
CVPR
2009
IEEE
16 years 6 months ago
(De) Focusing on Global Light Transport for Active Scene Recovery
Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-refl...
Li Zhang, Mohit Gupta, Srinivasa G. Narasimhan, Yu...